editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 267-302, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202380BAC921357C427.pdf
AI & ML COLLABORATION WITH NETWORKING EMBEDDED &WIRELESS SYSTEMS
Area/Stream: Artificial Intelligence, Authors: Anirudh Shankar, Ashwath Narayan J R, Nachiketh R, Kanyadara Bhavya Keywords: Artificial Intelligence; Machine Learning; Networking; Embedded Systems; Algorithms; Diagnosis; Prognosis; Data collection Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 29Publication: IIP Proceedings Year: 2022, Month: November Page No: 267-302, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl202380BAC921357C427.pdf
Abstract:
Machine Learning (&deep learning) are branches of Artificial Intelligence consisting of statistical, probabilistic, &optimization techniques (often inspired by nature &its phenomenon) that allow machines (computers) to learn from previous observations recorded by humans. These machine learning algorithms when combined with other technologies especially Computer Vision can be used to perform very intuitive yet difficult human-like tasks, using these algorithms, humans can enable computers to learn about certain things like recognizing an object in an image, classifying text into different categories on the basis of its feature(s), etc. Since machine learning can do these difficult tasks easily &without the requirement of manpower, the range of fields in which machine learning can be used is very wide whether it be logistics, agriculture, info technology, healthcare, &many more. Here AI &ML, related to Networking, embedded systems &wireless systems along with their architecture, case studies, algorithms &flowcharts are explained for better understanding.
Cite this: Anirudh Shankar, Ashwath Narayan J R, Nachiketh R, Kanyadara Bhavya,"AI & ML COLLABORATION WITH NETWORKING EMBEDDED &WIRELESS SYSTEMS", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 29, November, 2022, 267-302, 978-93-95632-70-6, https://www.rsquarel.org/assets/docupload/rsl202380BAC921357C427.pdf
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